Tai Panich

Thrilled to announce @AICONIC_VC, $200M+ VC fund, investing in early-stage startups globally in AI, AI x Blockchain, Semiconductor, Robotics & Deep Tech. I am excited to launch this next chapter with offices in Singapore & Silicon Valley. We are backing iconic entrepreneurs who are building the future. The journey begins now!

We @AICONIC_VC are proud to back EPIC Microsystems in their $21M Series A. Sabin, Wonyoung and team are reimagining data center power delivery with hybrid switched-capacitor architecture built for the megawatt rack era. #AIInfrastructure #DataCenter axios.com/pro/enterprise…

The @AICONIC_VC team will be at OFC, The Future of Optical Networking and Communication, technical conference from Mar 15-19, 2026 in Los Angeles. If you are startups innovating in photonics area, let’s connect! Get in touch: contact@aiconicventures.com ofcconference.org #OFC2026

🚨Unified Data Semantics + Context Graphs: the missing layer for Enterprise AI (2026) Enterprise AI is hitting a wall humans barely notice: semantics. “Revenue.” “Customer.” “Churn.” “Risk.” These mean different things in CRM vs billing vs data warehouse vs dashboards. Humans reconcile this with context + precedent. AI agents can’t—and autonomous workflows break the moment they meet real-world ambiguity. What’s needed is a Context Layer with two components: 📍1) Unified Semantics Layer (Governed Meaning) A versioned, auditable ontology that defines what concepts mean and where they apply. Think policy-as-code for data: 👉 no tribal knowledge 👉 no hidden assumptions 👉 no “why did the agent do that?” surprises in production 👉 changes are explicit, reviewable, and roll-forward/roll-back capable 📍2) Context Graph (Decision Lineage) A graph that records each agent decision end-to-end: inputs → semantic definitions used → policies/overrides → action → outcome Every run produces lineage. Curated lineage (with active governance) becomes reusable precedent—the enterprise’s “case law” for AI decisions. Why this compounds (and why it’s investable): 👉 Coherent semantics reduce contradictory decisions + brittle cross-system workflows 👉 Graph-grounded decisions reduce “confidently wrong” outputs by anchoring actions to curated, previously-resolved cases 👉 Decision traces create a flywheel: each governed run generates data that makes the next run more auditable + reliable 👉 High switching costs: semantics + governance + accumulated decision history embed deeply over time 🕹️The structural insight: Data warehouses store facts after decisions. Context layers govern meaning and capture reasoning during decisions. Different category. Different moat. 📣 Our 2026 thesis: Companies building unified semantics + decision lineage become core infrastructure for trustworthy, autonomous enterprise workflows. If you want to go deeper, @AICONIC_VC ‘s CTO Thanapong Boontaeng wrote a Medium post: @thanapong_18619/the-context-graph-revolution-why-enterprise-ai-needs-decision-lineage-c01d90fd1db4" target="_blank" rel="nofollow noopener">medium.com/@thanapong_186… #EnterpriseAI #ContextGraph #SemanticLayer #AI #DataInfrastructure #MachineLearning

Memory is the New Moat in Agentic AI The LLM world is transforming from mere text generators into adaptive, self-improving agents—and at the heart of this evolution lies memory. No longer a simple vector database, memory is becoming a sophisticated tiered architecture with multiple forms and functions. Read our medium post here: @pmukaya/memory-is-the-new-moat-in-agentic-ai-b400897e1b43" target="_blank" rel="nofollow noopener">medium.com/@pmukaya/memor… If you’re building memory systems, multi-agent infrastructure, or continual learning for this new era, let’s talk to us @AICONIC_VC: contact@aiconicventures.com

We're releasing Medmarks v0.1, the largest completely open-source automated evaluation suite for assessing the medical capabilities of LLMs! Developed in our @MedARC_AI community, w/ support from @PrimeIntellect So far we’ve explored 46 models to figure out the best!

Congratulations to Corintis team on their Series A1 led by @APLDdigital, with participation from @AICONIC_VC, @blueyard, @climbventures, @AcequiaCapital and others. Corintis builds advanced liquid cooling solutions for high-power GPUs/AI chips. With @nvidia’s B200 at 1200W and power requirements for GPU/AI chips projected to reach 8,000W by 2030, air cooling is obsolete—liquid cooling is now critical infrastructure. Excited to continue backing this innovation! 🚀

Applied Digital led a $25M investment in Corintis, further accelerating our leadership in high-performance AI Factories with strategic investments that set the industry's pace and continue to shape the future of AI infrastructure. $APLD Read more: ir.applieddigital.com/news-events/pr…

@AdamZweiger @jyo_pari @HanGuo97 @akyurekekin Will be there! See you, Adam

Presenting Self-Adapting Language Models on Wednesday at NeurIPS. We equip an LLM with the ability to write training data for itself in response to new inputs. We then meta-learn this ability with RL. Stop by to chat! 11-2 pm, #3415, with @jyo_pari @HanGuo97 @akyurekekin

The @AICONIC_VC team and I will be attending #NeurIPS, in San Diego from Dec 2-7. If you're building an AI startup and will be there, let's connect! Get in touch: contact@aiconicventures.com neurips.cc

@GavinSBaker We got ahead of the curve and invested in LumiLens, next-generation photonics for data center and AI, from day 1. And in 1 year they have gone from start to unicorn and building a great product for largest hyperscaler. lumilens.com

Yes. And heavily leveraged to both GPUs and TPUs.

AICONIC invested in @ebots_inc, building intelligent robotic systems combining human-like dexterity w/ machine precision: 40um motion accuracy & 22um precision. Perfect for intricate final assembly—from smartphones to data center servers—where delicate hand dexterity is critical